Currently any compilation to MIPS spits out the warning:
'generic' is not a recognized processor for this target (ignoring processor)
Doesn't make for a great user experience! We don't encounter this in the normal
bootstrap because the cpu/feature set are set by the makefiles. Instead let's
just propagate these to the defaults for the entire target all the time (still
overridable from the command line) and prevent warnings from being emitted by
default.
This target covers MIPS devices that run the trunk version of OpenWRT.
The x86_64-unknown-linux-musl target always links statically to C libraries. For
the mips(el)-unknown-linux-musl target, we opt for dynamic linking (like most of
other targets do) to keep binary size down.
As for the C compiler flags used in the build system, we use the same flags used
for the mips(el)-unknown-linux-gnu target.
r? @alexcrichton
I don't believe these test cases have served any purpose in years.
The shootout benchmarks are now upstreamed. A new benchmark suite
should rather be maintained out of tree.
r? @nikomatsakis
Currently any compilation to MIPS spits out the warning:
'generic' is not a recognized processor for this target (ignoring processor)
Doesn't make for a great user experience! We don't encounter this in the normal
bootstrap because the cpu/feature set are set by the makefiles. Instead let's
just propagate these to the defaults for the entire target all the time (still
overridable from the command line) and prevent warnings from being emitted by
default.
These commits perform a few high-level changes with the goal of enabling i686 MSVC unwinding:
* LLVM is upgraded to pick up the new exception handling instructions and intrinsics for MSVC. This puts us somewhere along the 3.8 branch, but we should still be compatible with LLVM 3.7 for non-MSVC targets.
* All unwinding for MSVC targets (both 32 and 64-bit) are implemented in terms of this new LLVM support. I would like to also extend this to Windows GNU targets to drop the runtime dependencies we have on MinGW, but I'd like to land this first.
* Some tests were fixed up for i686 MSVC here and there where necessary. The full test suite should be passing now for that target.
In terms of landing this I plan to have this go through first, then verify that i686 MSVC works, then I'll enable `make check` on the bots for that target instead of just `make` as-is today.
Closes#25869
This target covers MIPS devices that run the trunk version of OpenWRT.
The x86_64-unknown-linux-musl target always links statically to C libraries. For
the mips(el)-unknown-linux-musl target, we opt for dynamic linking (like most of
other targets do) to keep binary size down.
As for the C compiler flags used in the build system, we use the same flags used
for the mips(el)-unknown-linux-gnu target.
I don't believe these test cases have served any purpose in years.
The shootout benchmarks are now upstreamed. A new benchmark suite
should rather be maintained out of tree.
The cross prefix was not likely the actual compiler that needed to be used, but
rather the standard `arm-linux-gnueabihf-gcc` compiler can just be used with
`-march=armv7`.
Unfortunately older clang compilers don't support this argument, so the
bootstrap will fail. We don't actually really need to optimized the C code we
compile, however, as currently we're just compiling jemalloc and not much else.
This adds support for the armv7 crosstool-ng toolchain for the Raspberry Pi 2.
Getting the toolchain ready:
Checkout crosstool-ng from https://github.com/crosstool-ng/crosstool-ng
Build crosstool-ng
Configure the rpi2 target with |ct-ng armv7-rpi2-linux-gnueabihf|
Build the toolchain with |ct-build| and add the path to $toolchain_install_dir/bin to your $PATH
Then, on the rust side:
configure --target=armv7-rpi2-linux-gnueabihf && make && make install
To cross compile for the rpi2,
add $rust_install_path/lib to your $LD_LIBRARY_PATH, then use
rustc --target=armv7-rpi2-linux-gnueabihf -C linker=armv7-rpi2-linux-gnueabihf-g++ hello.rs
The purpose of the translation item collector is to find all monomorphic instances of functions, methods and statics that need to be translated into LLVM IR in order to compile the current crate.
So far these instances have been discovered lazily during the trans path. For incremental compilation we want to know the set of these instances in advance, and that is what the trans::collect module provides.
In the future, incremental and regular translation will be driven by the collector implemented here.
r? @nikomatsakis
cc @rust-lang/compiler
Translation Item Collection
===========================
This module is responsible for discovering all items that will contribute to
to code generation of the crate. The important part here is that it not only
needs to find syntax-level items (functions, structs, etc) but also all
their monomorphized instantiations. Every non-generic, non-const function
maps to one LLVM artifact. Every generic function can produce
from zero to N artifacts, depending on the sets of type arguments it
is instantiated with.
This also applies to generic items from other crates: A generic definition
in crate X might produce monomorphizations that are compiled into crate Y.
We also have to collect these here.
The following kinds of "translation items" are handled here:
- Functions
- Methods
- Closures
- Statics
- Drop glue
The following things also result in LLVM artifacts, but are not collected
here, since we instantiate them locally on demand when needed in a given
codegen unit:
- Constants
- Vtables
- Object Shims
General Algorithm
-----------------
Let's define some terms first:
- A "translation item" is something that results in a function or global in
the LLVM IR of a codegen unit. Translation items do not stand on their
own, they can reference other translation items. For example, if function
`foo()` calls function `bar()` then the translation item for `foo()`
references the translation item for function `bar()`. In general, the
definition for translation item A referencing a translation item B is that
the LLVM artifact produced for A references the LLVM artifact produced
for B.
- Translation items and the references between them for a directed graph,
where the translation items are the nodes and references form the edges.
Let's call this graph the "translation item graph".
- The translation item graph for a program contains all translation items
that are needed in order to produce the complete LLVM IR of the program.
The purpose of the algorithm implemented in this module is to build the
translation item graph for the current crate. It runs in two phases:
1. Discover the roots of the graph by traversing the HIR of the crate.
2. Starting from the roots, find neighboring nodes by inspecting the MIR
representation of the item corresponding to a given node, until no more
new nodes are found.
The roots of the translation item graph correspond to the non-generic
syntactic items in the source code. We find them by walking the HIR of the
crate, and whenever we hit upon a function, method, or static item, we
create a translation item consisting of the items DefId and, since we only
consider non-generic items, an empty type-substitution set.
Given a translation item node, we can discover neighbors by inspecting its
MIR. We walk the MIR and any time we hit upon something that signifies a
reference to another translation item, we have found a neighbor. Since the
translation item we are currently at is always monomorphic, we also know the
concrete type arguments of its neighbors, and so all neighbors again will be
monomorphic. The specific forms a reference to a neighboring node can take
in MIR are quite diverse. Here is an overview:
The most obvious form of one translation item referencing another is a
function or method call (represented by a CALL terminator in MIR). But
calls are not the only thing that might introduce a reference between two
function translation items, and as we will see below, they are just a
specialized of the form described next, and consequently will don't get any
special treatment in the algorithm.
A function does not need to actually be called in order to be a neighbor of
another function. It suffices to just take a reference in order to introduce
an edge. Consider the following example:
```rust
fn print_val<T: Display>(x: T) {
println!("{}", x);
}
fn call_fn(f: &Fn(i32), x: i32) {
f(x);
}
fn main() {
let print_i32 = print_val::<i32>;
call_fn(&print_i32, 0);
}
```
The MIR of none of these functions will contain an explicit call to
`print_val::<i32>`. Nonetheless, in order to translate this program, we need
an instance of this function. Thus, whenever we encounter a function or
method in operand position, we treat it as a neighbor of the current
translation item. Calls are just a special case of that.
In a way, closures are a simple case. Since every closure object needs to be
constructed somewhere, we can reliably discover them by observing
`RValue::Aggregate` expressions with `AggregateKind::Closure`. This is also
true for closures inlined from other crates.
Drop glue translation items are introduced by MIR drop-statements. The
generated translation item will again have drop-glue item neighbors if the
type to be dropped contains nested values that also need to be dropped. It
might also have a function item neighbor for the explicit `Drop::drop`
implementation of its type.
A subtle way of introducing neighbor edges is by casting to a trait object.
Since the resulting fat-pointer contains a reference to a vtable, we need to
instantiate all object-save methods of the trait, as we need to store
pointers to these functions even if they never get called anywhere. This can
be seen as a special case of taking a function reference.
Since `Box` expression have special compiler support, no explicit calls to
`exchange_malloc()` and `exchange_free()` may show up in MIR, even if the
compiler will generate them. We have to observe `Rvalue::Box` expressions
and Box-typed drop-statements for that purpose.
Interaction with Cross-Crate Inlining
-------------------------------------
The binary of a crate will not only contain machine code for the items
defined in the source code of that crate. It will also contain monomorphic
instantiations of any extern generic functions and of functions marked with
The collection algorithm handles this more or less transparently. When
constructing a neighbor node for an item, the algorithm will always call
`inline::get_local_instance()` before proceeding. If no local instance can
be acquired (e.g. for a function that is just linked to) no node is created;
which is exactly what we want, since no machine code should be generated in
the current crate for such an item. On the other hand, if we can
successfully inline the function, we subsequently can just treat it like a
local item, walking it's MIR et cetera.
Eager and Lazy Collection Mode
------------------------------
Translation item collection can be performed in one of two modes:
- Lazy mode means that items will only be instantiated when actually
referenced. The goal is to produce the least amount of machine code
possible.
- Eager mode is meant to be used in conjunction with incremental compilation
where a stable set of translation items is more important than a minimal
one. Thus, eager mode will instantiate drop-glue for every drop-able type
in the crate, even of no drop call for that type exists (yet). It will
also instantiate default implementations of trait methods, something that
otherwise is only done on demand.
Open Issues
-----------
Some things are not yet fully implemented in the current version of this
module.
Since no MIR is constructed yet for initializer expressions of constants and
statics we cannot inspect these properly.
Ideally, no translation item should be generated for const fns unless there
is a call to them that cannot be evaluated at compile time. At the moment
this is not implemented however: a translation item will be produced
regardless of whether it is actually needed or not.
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Unfortunately older clang compilers don't support this argument, so the
bootstrap will fail. We don't actually really need to optimized the C code we
compile, however, as currently we're just compiling jemalloc and not much else.
The purpose of the translation item collector is to find all monomorphic instances of functions, methods and statics that need to be translated into LLVM IR in order to compile the current crate.
So far these instances have been discovered lazily during the trans path. For incremental compilation we want to know the set of these instances in advance, and that is what the trans::collect module provides.
In the future, incremental and regular translation will be driven by the collector implemented here.
This commit removes the `-D warnings` flag being passed through the makefiles to
all crates to instead be a crate attribute. We want these attributes always
applied for all our standard builds, and this is more amenable to Cargo-based
builds as well.
Note that all `deny(warnings)` attributes are gated with a `cfg(stage0)`
attribute currently to match the same semantics we have today
this makes sure the checks run before typeck (which might use the constant or const
function to calculate an array length) and gives prettier error messages in case of for
loops and such (since they aren't expanded yet).
fixes#30887
r? @pnkfelix
this makes sure the checks run before typeck (which might use the constant or const
function to calculate an array length) and gives prettier error messages in case of for
loops and such (since they aren't expanded yet).
Use arena allocation instead of reference counting for `Module`s to fix memory leaks from `Rc` cycles.
A module references its module children and its import resolutions, and an import resolution references the module defining the imported name, so there is a cycle whenever a module imports something from an ancestor module.
For example,
```rust
mod foo { // `foo` references `bar`.
fn baz() {}
mod bar { // `bar` references the import.
use foo::baz; // The import references `foo`.
}
}
```
I also re-enabled the use of `#[thread_local]` on AArch64. It was originally disabled in the PR that introduced AArch64 (#19790), but the reasons for this were not explained. `#[thread_local]` seems to work fine in my tests on AArch64, so I don't think this should be an issue.
cc @alexcrichton @akiss77
This mixes in additional information into the hash that is
passed to -C extra-filename. It can be used to further distinguish
the standard libraries if they must be installed next to each
other.
Closes#29559
Frankly, I'm not sure if this solves a real problem. It's meant to help with side-by-side and overlapping installations where there are two sets of libs in /usr, but there are other potential issues there as well, including that some of our artifacts don't use this extra-filename munging, and it's not something our installers can support at all.
cc @jauhien Do you still think this helps the Gentoo case?
Since `darwin` is really `apple-darwin`, the valgrind-rpass tests were not actually being run with valgrind on mac before. Also, the `HOST` check was completely wrong.
r? @alexcrichton
This mixes in additional information into the hash that is
passed to -C extra-filename. It can be used to further distinguish
the standard libraries if they must be installed next to each
other.
Closes#29559
It's been awhile since we last updated jemalloc, and there's likely some bugs
that have been fixed since the last version we're using, so let's try to update
again.
It's been awhile since we last updated jemalloc, and there's likely some bugs
that have been fixed since the last version we're using, so let's try to update
again.
this PR reverts previous ones, that tried to make `cc` to found `estdc++` in `/usr/local/lib`. It causes more trouble than it resolvs things: rustc become unbuildable if another version already exists in `/usr/local` (for example, `libstd-xxxx.so` is found in `/usr/local/lib` and in builddir).
so this PR tries another way to achieve build, but using the good linker for building. By default, rustc use `cc` for linking. But under OpenBSD, `cc` is gcc 4.2.1 from base, whereas we build with gcc 4.9 from ports. By linking using the compiler found at compile-time, we ensure that the compiler will found his own stdc++ library without trouble.
r? @alexcrichton
bors
Tamir Duberstein
petevine
Jorge Aparicio
Manish Goregaokar
Alex Crichton
Brian Anderson
Fabrice Desré
Michael Woerister
Oliver Schneider
Dave Huseby
Anton Blanchard
Jeffrey Seyfried
Amanieu d'Antras
Jörg Krause
Felix S. Klock II
Simonas Kazlauskas
